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| Content Provider | Springer Nature : BioMed Central |
|---|---|
| Author | Carter, Joseph Hoffman, Joshua Fjeldsted, Braxton Ogilvie, Grant Cook, Douglas D. |
| Abstract | Maize is the most grown feed crop in the United States. Due to wind storms and other factors, 5% of maize falls over annually. The longitudinal shear modulus of maize stalk tissues is currently unreported and may have a significant influence on stalk failure. To better understand the causes of this phenomenon, maize stalk material properties need to be measured so that they can be used as material constants in computational models that provide detailed analysis of maize stalk failure. This study reports longitudinal shear modulus of maize stalk tissue through repeated torsion testing of dry and fully mature maize stalks. Measurements were focused on the two tissues found in maize stalks: the hard outer rind and the soft inner pith. Uncertainty analysis and comparison of multiple methodologies indicated that all measurements are subject to low error and bias. The results of this study will allow researchers to better understand maize stalk failure modes through computational modeling. This will allow researchers to prevent annual maize loss through later studies. This study also provides a methodology that could be used or adapted in the measurement of tissues from other plants such as sorghum, sugarcane, etc. |
| Related Links | https://plantmethods.biomedcentral.com/counter/pdf/10.1186/s13007-024-01264-6.pdf |
| Ending Page | 10 |
| Page Count | 10 |
| Starting Page | 1 |
| File Format | HTM / HTML |
| ISSN | 17464811 |
| DOI | 10.1186/s13007-024-01264-6 |
| Journal | Plant Methods |
| Issue Number | 1 |
| Volume Number | 20 |
| Language | English |
| Publisher | BioMed Central |
| Publisher Date | 2024-09-30 |
| Access Restriction | Open |
| Subject Keyword | Plant Sciences Biological Techniques Biomechanics Modeling Torsion Modulus Shear |
| Content Type | Text |
| Resource Type | Article |
| Subject | Plant Science Biotechnology Genetics |
| Journal Impact Factor | 4.7/2023 |
| 5-Year Journal Impact Factor | 5.6/2023 |
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